Application of Machine Learning to Predict Weight Loss in Overweight, and Obese Patients on Korean Medicine Weight Management Program-Reference-Cited by-同舟云学术

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Application of Machine Learning to Predict Weight Loss in Overweight, and Obese Patients on Korean Medicine Weight Management Program

Published:2020-06-01 Issue:2 Volume:41 Page:58-79
ISSN:1010-0695
Container-title:Journal of Korean Medicine
language:en
Short-container-title:J Korean Med

Author:

Kim Eunjoo,Park Young-Bae,Choi Kahye,Lim Young-Woo,Ok Ji-Myung,Noh Eun-Young,Song Tae Min,Kang Jihoon,Lee Hyangsook,Kim Seo-Young

Publisher

The Society of Korean Medicine

Link

http://jkom.org/upload/jkm-41-2-58.pdf

Reference37 articles.

1. Energy Balance and Obesity

2. Obesity Epidemiology

3. Obesity is Associated with an Increased Prevalence of Glenohumeral Osteoarthritis and Arthroplasty

4. Obesity and cancer: inflammation bridges the two

5. Initial weight loss on an 800-kcal diet as a predictor of weight loss success after 8 weeks: the Diogenes study

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Gamitaeeumjowee-tang for Weight Loss in Post-Menopausal Obese Women: A Retrospective Chart Review;Journal of Korean Medicine;2024-03-01

2. An Explainable Artificial Intelligence Software Tool for Weight Management Experts (PRIMO): Mixed Methods Study;Journal of Medical Internet Research;2023-09-06

3. Age-specific risk factors for the prediction of obesity using a machine learning approach;Frontiers in Public Health;2023-01-17

4. PRIMO, an Explainable Artificial Intelligence Software Tool for Weight Management Experts: Design and Usability Study (Preprint);2022-08-19

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